In: Operations Management
A manufacturing company wants to develop control charts to measure the quality of its steel plate. They take ten sheets of 1" steel plate and compute the number of cosmetic flaws on each roll. Each sheet is 20' by 100'. Based on the following data.
Sheet |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
# of flaws |
1 |
1 |
2 |
0 |
1 |
5 |
0 |
2 |
0 |
2 |
a. Compute the lower control (LCL) limit
b. Compute the upper control (UCL) limit
c. Is the process under control ?
Question: A manufacturing company wants to develop control charts to measure the quality of its steel plate. They take ten sheets of 1" steel plate and compute the number of cosmetic flaws on each roll. Each sheet is 20' by 100'. Based on the following data.
Answer:
From given data:
Total number of sheets = 10
Total number of flaws = 14
Therefore:
Using c-chart, centerline is given by:
Centerline (c) = Total number of flaws / Total number of sheets
Therefore:
Centerline (c) = 14 / 10
Centerline (c) = 1.4
a. Compute the lower control (LCL) limit
Lower Control Limit (LCLc) is given by:
LCL = c - 3 x Sqrt(c)
Therefore:
LCL = 1.4 - 3 x Sqrt(1.4)
LCL = -2.14964786986
LCL = 0
b. Compute the upper control (UCL) limit
Upper Control Limit (UCLc) is given by:
UCL = c + 3 x Sqrt(c)
Therefore:
UCL = 1.4 + 3 x Sqrt(1.4)
UCL = 4.94964786986
UCL = 4.949648
c. Is the process under control ?
Here:
Sample 6 = 5
UCL = 4.949648
Therefore:
Sample 6 is above the control limits hence the process is out of control.